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test_engine.py
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import json
from typing import TYPE_CHECKING, TypedDict
if not TYPE_CHECKING:
# `reveal_type` is a pseudo-builtin only available when type checking.
# Define a no-op version here so that we can call it in the tests.
def reveal_type(x: object) -> None: ...
from flag_engine.context.types import EvaluationContext, IdentityContext, SegmentContext
from flag_engine.engine import get_evaluation_result
from flag_engine.result.types import EvaluationResult
def test_get_evaluation_result__no_overrides__returns_expected(
context: EvaluationContext,
) -> None:
# When
result = get_evaluation_result(context)
# Then
assert result == EvaluationResult(
flags={
"feature_1": {
"enabled": True,
"feature_key": "1",
"name": "feature_1",
"reason": "DEFAULT",
"value": None,
},
"feature_2": {
"enabled": False,
"feature_key": "2",
"name": "feature_2",
"reason": "DEFAULT",
"value": None,
},
},
segments=[],
)
def test_get_evaluation_result__segment_override__returns_expected(
context_in_segment: EvaluationContext,
) -> None:
# When
result = get_evaluation_result(context_in_segment)
# Then
assert result == {
"flags": {
"feature_1": {
"enabled": False,
"feature_key": "1",
"name": "feature_1",
"reason": "TARGETING_MATCH; segment=my_segment",
"value": "segment_override",
},
"feature_2": {
"enabled": False,
"feature_key": "2",
"name": "feature_2",
"reason": "DEFAULT",
"value": None,
},
},
"segments": [{"key": "1", "name": "my_segment"}],
}
def test_get_evaluation_result__identity_override__returns_expected(
identity: IdentityContext,
context: EvaluationContext,
) -> None:
# Given
identity_overrides_segment = SegmentContext(
key="",
name="identity_overrides",
rules=[
{
"type": "ALL",
"conditions": [
{
"property": "$.identity.identifier",
"operator": "IN",
"value": json.dumps([identity["identifier"]]),
},
],
}
],
overrides=[
{
"key": "5",
"feature_key": "1",
"name": "feature_1",
"enabled": True,
"value": "overridden_for_identity",
}
],
)
context["segments"] = {"123": identity_overrides_segment}
# When
result = get_evaluation_result(context)
# Then
assert result == {
"flags": {
"feature_1": {
"enabled": True,
"feature_key": "1",
"name": "feature_1",
"reason": "TARGETING_MATCH; segment=identity_overrides",
"value": "overridden_for_identity",
},
"feature_2": {
"enabled": False,
"feature_key": "2",
"name": "feature_2",
"reason": "DEFAULT",
"value": None,
},
},
"segments": [
{
"key": "",
"name": "identity_overrides",
},
],
}
def test_get_evaluation_result__two_segments_override_same_feature__returns_expected() -> (
None
):
# Given
context_in_segments: EvaluationContext = {
"environment": {"key": "api-key", "name": ""},
"identity": {
"identifier": "identity_2",
"key": "api-key_identity_2",
"traits": {"foo": "bar"},
},
"features": {
"feature_1": {
"key": "1",
"feature_key": "1",
"name": "feature_1",
"enabled": False,
"value": None,
},
"feature_2": {
"key": "2",
"feature_key": "2",
"name": "feature_2",
"enabled": False,
"value": None,
},
},
"segments": {
"1": {
"key": "1",
"name": "my_segment",
"rules": [
{
"type": "ALL",
"conditions": [
{"property": "foo", "operator": "EQUAL", "value": "bar"}
],
"rules": [],
}
],
"overrides": [
{
"key": "4",
"feature_key": "1",
"name": "feature_1",
"enabled": False,
"value": "segment_override",
"priority": 2,
}
],
},
"3": {
"key": "3",
"name": "higher_priority_segment",
"rules": [
{
"type": "ALL",
"conditions": [
{"property": "foo", "operator": "EQUAL", "value": "bar"}
],
"rules": [],
}
],
"overrides": [
{
"enabled": True,
"key": "2",
"feature_key": "1",
"name": "feature_1",
"value": "segment_override_other",
"priority": 1,
}
],
},
},
}
# When
result = get_evaluation_result(context_in_segments)
# Then
assert result == {
"flags": {
"feature_1": {
"enabled": True,
"feature_key": "1",
"name": "feature_1",
"reason": "TARGETING_MATCH; segment=higher_priority_segment",
"value": "segment_override_other",
},
"feature_2": {
"enabled": False,
"feature_key": "2",
"name": "feature_2",
"reason": "DEFAULT",
"value": None,
},
},
"segments": [
{"key": "1", "name": "my_segment"},
{"key": "3", "name": "higher_priority_segment"},
],
}
def test_get_evaluation_result__segment_override__no_priority__returns_expected() -> (
None
):
# Given
context: EvaluationContext = {
"environment": {"key": "api-key", "name": ""},
"identity": {
"identifier": "identity_2",
"key": "api-key_identity_2",
"traits": {"foo": "bar"},
},
"features": {
"feature_1": {
"key": "1",
"feature_key": "1",
"name": "feature_1",
"enabled": False,
"value": None,
},
"feature_2": {
"key": "2",
"feature_key": "2",
"name": "feature_2",
"enabled": False,
"value": None,
},
},
"segments": {
"1": {
"key": "1",
"name": "segment_without_override_priority",
"rules": [
{
"type": "ALL",
"conditions": [
{"property": "foo", "operator": "EQUAL", "value": "bar"}
],
"rules": [],
}
],
"overrides": [
{
"key": "3",
"feature_key": "1",
"name": "feature_1",
"enabled": True,
"value": "overridden_without_priority",
}
],
},
"2": {
"key": "2",
"name": "segment_with_override_priority",
"rules": [
{
"type": "ALL",
"conditions": [
{"property": "foo", "operator": "EQUAL", "value": "bar"}
],
"rules": [],
}
],
"overrides": [
{
"key": "4",
"feature_key": "1",
"name": "feature_1",
"enabled": True,
"value": "overridden_with_priority",
"priority": 1,
}
],
},
"3": {
"key": "3",
"name": "another_segment",
"rules": [
{
"type": "ALL",
"conditions": [
{
"property": "$.identity.identifier",
"operator": "EQUAL",
"value": "identity_2",
}
],
"rules": [],
}
],
"overrides": [
{
"key": "5",
"feature_key": "2",
"name": "feature_2",
"enabled": False,
"value": "moose",
}
],
},
},
}
# When
result = get_evaluation_result(context)
# Then
assert result == {
"flags": {
"feature_1": {
"enabled": True,
"feature_key": "1",
"name": "feature_1",
"reason": "TARGETING_MATCH; segment=segment_with_override_priority",
"value": "overridden_with_priority",
},
"feature_2": {
"enabled": False,
"feature_key": "2",
"name": "feature_2",
"reason": "TARGETING_MATCH; segment=another_segment",
"value": "moose",
},
},
"segments": [
{"key": "1", "name": "segment_without_override_priority"},
{"key": "2", "name": "segment_with_override_priority"},
{"key": "3", "name": "another_segment"},
],
}
def test_segment_metadata_generic_type__returns_expected() -> None:
# Given
class CustomMetadata(TypedDict):
foo: str
bar: int
segment_metadata = CustomMetadata(foo="hello", bar=123)
evaluation_context: EvaluationContext[CustomMetadata] = {
"environment": {"key": "api-key", "name": ""},
"segments": {
"1": {
"key": "1",
"name": "my_segment",
"rules": [
{
"type": "ALL",
"conditions": [
{
"property": "$.environment.name",
"operator": "EQUAL",
"value": "",
}
],
"rules": [],
}
],
"metadata": segment_metadata,
},
},
}
# When
result = get_evaluation_result(evaluation_context)
# Then
assert result["segments"][0]["metadata"] is segment_metadata
reveal_type(result["segments"][0]["metadata"]) # CustomMetadata
def test_segment_metadata_generic_type__default__returns_expected() -> None:
# Given
segment_metadata = {"hello": object()}
# we don't specify generic type, but mypy is happy with this
evaluation_context: EvaluationContext = {
"environment": {"key": "api-key", "name": ""},
"segments": {
"1": {
"key": "1",
"name": "my_segment",
"rules": [
{
"type": "ALL",
"conditions": [
{
"property": "$.environment.name",
"operator": "EQUAL",
"value": "",
}
],
"rules": [],
}
],
"metadata": segment_metadata,
},
},
}
# When
result = get_evaluation_result(evaluation_context)
# Then
assert result["segments"][0]["metadata"] is segment_metadata
reveal_type(result["segments"][0]["metadata"]) # Dict[str, object]